The “Start Small” approach encourages agencies to begin with targeted, manageable improvements in their WIC application process before expanding changes more broadly, fostering easier implementation and measurable early successes.
This blog discusses a resource developed by the Digital Service at the Centers for Medicare & Medicaid Services (CMS) to assist individuals in navigating mental health, drug, or alcohol issues and connecting with appropriate support services.
U.S. Department of Health and Human Services (HHS)
This article explores how legal documents can be treated like software programs, using methods like software testing and mutation analysis to enhance AI-driven statutory analysis, aiding legal decision-making and error detection.
A pre-launch survey brief that documents the financial, emotional, and physical well-being of a local child care workforce before the start of a wage boost pilot.
These principles and best practices for AI developers and employers to center the well-being of workers in the development and deployment of AI in the workplace and to value workers as the essential resources they are.
This FormFest profile highlights Riverside County’s pilot of AI-powered interviews that streamline benefit applications, reducing bureaucratic burden on families in crisis while freeing caseworkers to focus on human connection.
This is the summary version of a report that documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
Recapping the work and achievements of the Digital Benefits Network (DBN), Digital Service Network (DSN), and the State Chief Data Officers Network (CDO) in 2025.
This framework provides practical guidance, detailed reference designs, and example solutions to help organizations securely adopt and operationalize Zero Trust principles across diverse IT environments.
National Institute of Standards and Technology (NIST)
